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AI Business Automation ROI

Estimate hours and dollars returned from AI-native workflow automation.

Best for high-volume, structured back- and mid-office workflows — claims attachments, invoice processing, KYC intake, records handling, policy issuance.

Your inputs

Set your monthly transaction volume, time per transaction, and realistic automation and rework targets.

Invoices, claims, tickets, documents, cases, etc.

End-to-end manual handling today

65%

Straight-through candidates given today's IDP + agentic tooling

Wages, benefits, tooling

8%

Share of transactions requiring rework or correction

3%

Target after IDP validation and agentic checks

Platform, integration, process redesign

Estimated annual impact
$2,051,538

Annual savings from time returned and rework avoided, at your target automation rate.

Transactions automatable312,000 / yr
Total hours saved45,720 hrs / yr
FTE equivalent freed29.3 FTE
Simple payback2.0 months
Share & export

Estimates are directional and based on industry benchmarks for IDP and agentic automation. Assumes 1,560 productive FTE hours per year and 90% time removed on automated transactions.

Three-scenario view

Finance reviewers expect a range. These scenarios flex adoption and implementation cost around the model you entered.

Conservative
$1,356,115
3.7 mo payback

Slower adoption, higher integration effort

Base caseYour inputs
$2,051,538
2.0 mo payback

Your inputs as entered

Aggressive
$2,543,423
1.5 mo payback

Strong sponsorship, clean data, phased scale-up

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Send us the brief and a delivery lead validates these assumptions against your data, then replies with indicative scope, timeline and commercial options.

CalculatorAI Business Automation ROI Calculator — routed to this team

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How this calculator works

How do you calculate ROI for AI business automation?

AI business automation ROI is transaction volume multiplied by the minutes each transaction consumes today, multiplied by the share automation removes, valued at a fully loaded hourly cost — then reduced by exception handling that still needs a human, and offset by the annual platform and delivery investment. The tool returns hours returned, annual value, net benefit and payback.

Ungated — results appear instantly, no email required.

What you enter

  • Monthly transaction or case volume
  • Average minutes handled per transaction
  • Fully loaded hourly cost of the team
  • Share of the workflow that can be automated (%)
  • Exception / human-review rate (%)
  • Annual program investment

How it is calculated

  1. 1.Annualize transactions and multiply by handling minutes to get total effort hours.
  2. 2.Apply the automation share to get candidate hours removed.
  3. 3.Return exception-handling hours to the human column so the model is net, not gross.
  4. 4.Value the remaining hours at the fully loaded hourly cost.
  5. 5.Subtract annual investment for net benefit and derive payback in months.

What you get back

  • Annual hours returned to the business
  • Annual value of released capacity
  • Net benefit and payback period
  • Scenario range and downloadable PDF

Built for: COOs, shared-services and operations leaders automating high-volume back-office work.

Which back-office workflows give the fastest automation payback?

High-volume, structured, rules-legible workflows with a stable input format — document intake, status enquiries, data reconciliation and standard case triage. Payback stretches whenever the input is unstructured or the exception rate is above roughly a quarter of volume.

Should automation ROI be modelled as headcount or capacity?

Model it as capacity in hours first, then decide commercially what happens to those hours. Business cases built directly on headcount reduction tend to stall in approval and understate the value of absorbing growth without hiring.